TY - GEN
T1 - Liver extraction from ct images based on liver structure models
AU - Hariyama, Masanori
AU - Tanizawa, Riichi
AU - Shimoda, Mitsugi
AU - Kubota, Keiichi
N1 - Publisher Copyright:
© 2014 CSREA Press.
PY - 2014
Y1 - 2014
N2 - The extraction of a liver from CT images is es- sential for oncologic surgery planning. This article presents an accurate and automatic approach to extract a liver from CT images. Our algorithm exploits three types of liver structure models: Intensity model, shape model, and blood vessel model. First, the region including the liver is roughly extracted based on intensity histogram analysis. Second, the extracted regions are segmented using a shape feature called • local thickness • based on the observation that the liver is thicker than other organs. Finally, the segmented regions including blood vessels in the liver are merged into a single liver region. Experimental results show that the average error of the volume extraction is 61.25 cc, and this result is much superior to the conventional one.
AB - The extraction of a liver from CT images is es- sential for oncologic surgery planning. This article presents an accurate and automatic approach to extract a liver from CT images. Our algorithm exploits three types of liver structure models: Intensity model, shape model, and blood vessel model. First, the region including the liver is roughly extracted based on intensity histogram analysis. Second, the extracted regions are segmented using a shape feature called • local thickness • based on the observation that the liver is thicker than other organs. Finally, the segmented regions including blood vessels in the liver are merged into a single liver region. Experimental results show that the average error of the volume extraction is 61.25 cc, and this result is much superior to the conventional one.
KW - 3D simulation analysis
KW - Anatomic hepatectomy
KW - Local thickness
KW - Medical imaging
UR - http://www.scopus.com/inward/record.url?scp=85072832421&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072832421&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85072832421
T3 - Proceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014
SP - 170
EP - 173
BT - Proceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014
A2 - Arabnia, Hamid R.
A2 - Deligiannidis, Leonidas
A2 - Lu, Joan
A2 - Tinetti, Fernando G.
A2 - You, Jane
A2 - Jandieri, George
A2 - Schaefer, Gerald
A2 - Solo, Ashu M. G.
PB - CSREA Press
T2 - 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014, at WORLDCOMP 2014
Y2 - 21 July 2014 through 24 July 2014
ER -